AWS Data Engineer

AWS Data Engineer

Location: Remote (India)

Experience: 3+ Years

Employment Type: Full-Time

About the Role:

We are seeking a talented AWS Data Engineer with at least 3 years of hands-on experience in building and

managing data pipelines using AWS services. This role involves working with large-scale data, integrating

multiple data sources (including sensor/IoT data), and enabling efficient, secure, and analytics-ready solutions.

Experience in the energy industry or working with time-series/sensor data is a strong plus.

Key Responsibilities:

• Build and maintain scalable ETL/ELT data pipelines using AWS Glue, Redshift, Lambda, EMR, S3,

and Athena

• Process and integrate structured and unstructured data, including sensor/IoT and real-time streams

• Optimize pipeline performance and ensure reliability and fault tolerance

• Collaborate with cross-functional teams including data scientists and analysts

• Perform data transformations using Python, Pandas, and SQL

• Maintain data integrity, quality, and security across the platform

• Use Terraform and CI/CD tools (e.g., Azure DevOps) for infrastructure and deployment automation

• Support and monitor pipeline workflows, troubleshoot issues, and implement fixes

• Contribute to the adoption of emerging tools like AWS Bedrock, Textract, Rekognition, and GenAI

solutions

Required Skills and Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field

• 3+ years of experience in data engineering using AWS

• Strong skills in:

o AWS Glue, Redshift, S3, Lambda, EMR, Athena

o Python, Pandas, SQL

o RDS, Postgres, SAP HANA

• Solid understanding of data modeling, warehousing, and pipeline orchestration

• Experience with version control (Git) and infrastructure as code (Terraform)

Preferred Skills:

• Experience working with energy sector data or IoT/sensor-based data

• Exposure to machine learning tools and frameworks (e.g., SageMaker, TensorFlow, Scikit-learn)

• Familiarity with big data technologies like Apache Spark, Kafka

• Experience with data visualization tools (Tableau, Power BI, AWS QuickSight)

• Awareness of data governance and catalog tools such as AWS Data Quality, Collibra, and AWS

Databrew

• AWS Certifications (Data Analytics, Solutions Architect)